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@samlio1997g4
samlio1997g4 / A-Plague-Tale-Resonance-Trainer.md
Created September 4, 2026 07:27
Resonance: A Plague Tale Legacy Trainer toolkit for Windows with Resonance Points Editor, Game Speed, Configurable Hotkeys, Saved Profiles, Trainer Dashboard, Quick Presets, modern dashboard, saved presets, and desktop-focused setup.

Resonance-A-Plague-Tale-Legacy-Trainer

Resonance: A Plague Tale Legacy Trainer 2026 for Windows with God Mode, Unlock All Codex Entries, Unlock All Chapters, Unlock Everything, Change Resonance Points, Resonance Points Editor, profiles, hotkeys, configs, and a clean desktop workflow.

Download

Official Game Artwork

Resonance: A Plague Tale Legacy Trainer

@mike-petrov-lab95g2
mike-petrov-lab95g2 / Resonance-A-Plague-Tale-Legacy-Trainer.md
Created September 4, 2026 07:23
Resonance: A Plague Tale Legacy Trainer PC utility featuring Unlock All Chapters, Unlock Everything, Change Resonance Points, Resonance Points Editor, Game Speed, Configurable Hotkeys, reusable profiles, quick actions, and Windows configuration manag

Resonance-A-Plague-Tale-Legacy-Trainer

Resonance: A Plague Tale Legacy Trainer 2026 for Windows with God Mode, Unlock All Codex Entries, Unlock All Chapters, Unlock Everything, Change Resonance Points, Resonance Points Editor, profiles, hotkeys, configs, and a clean desktop workflow.

Download

Official Game Artwork

Resonance: A Plague Tale Legacy Trainer

@ryanlintott
ryanlintott / AVSpeechSynthesizer-IPASpeech-extension.swift
Last active September 5, 2026 05:26
Extension to AVSpeechSynthesizer that will speak IPA (International Phonetic Alphabet) strings
import Foundation
import AVFoundation
@available(iOS 10.0, *)
extension AVSpeechSynthesizer {
func speakIPA(_ ipaString: String, voiceIdentifier: String, willSpeak: ((String) -> Void)? = nil) {
//Set the audio session to playback to ignore mute switch on device
do {
try AVAudioSession.sharedInstance().setCategory(AVAudioSession.Category.playback, options: [.interruptSpokenAudioAndMixWithOthers, .duckOthers])
} catch {
@irazasyed
irazasyed / outbound-email-with-cloudflare.md
Last active September 5, 2026 05:17
Using Gmail SMTP with Cloudflare Email Routing: A Step-by-Step Guide

Using Gmail SMTP with Cloudflare Email Routing: Step-by-Step Guide

Learn how to send emails through Gmail SMTP with Cloudflare Email Routing in this comprehensive guide.

Step 1: Enable 2-Factor Authentication

To proceed with this method, ensure that you have enabled two-factor authentication for your Google account. If you haven't done so already, you can follow the link to set it up → Enable 2FA in your Google account.

Step 2: Create an App Password for Mail

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

@Shpigford
Shpigford / CLAUDE.md
Created September 4, 2026 00:30
Modification to CLAUDE.md to help manage token usage with Fable

Delegation policy (read first)

The session model (Fable) is the orchestrator, not the worker. Fable is the most expensive tier; spend its tokens only on decomposition, judgment calls, synthesis, and talking to the user. Delegate everything else to subagents via the Agent tool, picking the cheapest model that can do the job well:

  • model: "opus" — the default worker tier. Anything requiring real judgment: implementation, debugging, architecture-aware exploration, adversarial review.

  • model: "sonnet" — cheap tier for mechanical or low-stakes work: running tests and reporting output, simple greps/lookups with a known target, rote refactors from an exact spec, formatting, screenshot capture, admin chores. If getting it slightly wrong is cheap to catch, use sonnet.

  • Exploration/research: never read broadly yourself. Spawn Explore agents (model: opus) with tightly scoped questions; consume their synthesized reports, not raw files. Trivial "find the file that defines X" lookups can go to sonnet.